Walter Chang

Principal Scientist

Walter joined Adobe’s Advanced Technology Labs in 2004. He is currently the principal investigator in two areas of research: advanced data analytics for online recommendation systems, and the semantic understanding of multimodal content. In his role as the architect and project manager of a content intelligence system, his focus has been the development of hybrid symbolic and statistical algorithms to perform deeper semantic analysis of text, audio, and video content for advanced search, content organization, automatic metadata extraction, the synchronization of temporal metadata, and metadata inferencing.

His related research interests include: computational linguistics, automatic ontology acquisition and generation, named entity recognition, and extending relational, entity-relationship, and document object models to represent complex knowledge structures. He was a contributor and Adobe representative to the W3C RDF-Schema Working Group and have published in the areas of Semantic Web knowledge representations, extensible database architectures, and document indexing methods using content signature coding.

Prior to Adobe ATL, Walter was a managing director and systems architect at Scient (now Razorfish) and previously an engineering manager at Oracle Corporation. From 1984–1989, I was an advisory level programmer in the Extensible Database Group at the IBM Almaden Research Center where he had the privilege of being mentored by Prof. Hans Schek, Dr. Guy Lohman, and Dr. Bruce Lindsay.

He received his BS degree in electrical engineering and computer science from U.C. Berkeley and also holds a master’s degree in computer architecture from Santa Clara University.

Launched Websites

Ads for Adobe PDF – an online document analysis and contextualized advertising system for ad enabling PDF content in Adobe Reader using the Yahoo! ad network.

MLB.com – Major League Baseball Advanced Media Gameday – was the chief architect that led the engineering team that designed, built, and deployed a real-time multimedia architecture for MLBAM’s live game visualization, player stats, audio and video feeds, live player event capture, event synchronization to video, online video search, and event replay.